• Journal of Digital Convergence
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• v.18 no.7
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• pp.31-36
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• 2020

In recent years, increasing the variety of disasters and accidents that accompany large-scale damage. Disasters are accidents with uncertainty and have a direct impact on people's lives, safety and property protection. Therefore, it is necessary to establish and operate safety management systems such as prevention, response, and recovery for various disasters. Therefore, in this paper, a real-time disaster safety management solution in a smart environment was designed to systematically respond to disaster accidents. To this end, 1: 1 or 1: N situation propagation was performed to the situation room, related organizations, and experts through smart devices. Through this, the solution was configured to respond quickly and appropriately through multi-party information sharing and communication. In other words, we designed a solution that applied functions such as real-time and multi-party HD video transmission, mobile-type report management, voice / text situation propagation, location information sharing, recording and history management, and security.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.45 no.12
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• pp.90-96
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• 2008

Recently, various recording technologies are studied for optical data storage. After standardization of BD (Blu-ray Disc) and HD-DVD (High-Definition Digital Versatile Disc), the industry is looking for a suitable technology for next generation optical data storage. Super-RENS (Super-Resolution Near Field Structure) technique, which is capable of compatibility with other systems, is one of next optical data storage. In this paper, we proposed a neural network-based nonlinear equalizer (NNEQ) for Super-RENS discs. To mitigate the nonlinear ISI (Inter-Symbol Interference), we applied NARX (Nonlinear AutoRegressive eXogenous) which is a kind of neural networks. Its validity is tested with the RF signal samples obtained from a Super-RENS disc. The performance of the proposed equalizer is superior to the one without equalization and that of the Limit-EQ in terms of BER (Bit Error Rate).

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.12
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• pp.2241-2248
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• 2007

This paper proposes the web-based virtual collaboration among experts. The proposed system supports the presentation tool using Synchronous Multimedia Integration Language(SMIL) which is the easy and efficient way of adding multimedia to presentations. The presentation gives essential information to the participants before actual discuss. The participants use texts in discussing over the presented medical image. The spatial elements such as point or line, and some type of marker with their relative participants' comments can be set or removed dynamically to represent areas of interest in digital images. XML files are used for recording experts' opinions as well as the spatial elements that are associated with digital images during the discussion and stored for future reference. The participants can also set and reset a polygon in the image to select the interested area and refer to the stored relating information.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.415-417
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• 2020

무형문화유산의 전수 방식은 장인과 이수자의 직접적인 교육으로만 이루어져 왔으며 또한 전수는 긴 시간 동안 이루어지고 전수 방식을 따로 기록하는 경우가 드물며 동작이나 구전으로만 전해지기 때문에 표준화된 전수는 이루어질 수 없었다. 현재 국제 유네스코와 국내문화재청에서는 유무형문화재에 대한 전수와 기록의 중요성을 알고 다양한 디지털 기록을 진행하고 있다. 하지만 4차 산업혁명 시대에 무형유산 기록화 기술은 보유자의 기 예능 장인 공법을 기록하는 부분으로 영상기록 및 사진기록 도서 음원 등 아직까지 기존 아날로그 기술 방법으로 기록이 이루어지고 있으며 최근 5G 상용화와 함께 디지털 4차 산업 혁명시대와 발맞춰 무형유산 정보관리 기관에서도 무형유산 ICT 기반 기술 지원을 활성화되고 있는 시점에서 본 연구는 오랜 시간 동안 숙련도 높은 기술공법으로 한국 전통문화의 맥을 이어가고 있는 무형문화재 장인들의 기술 중에서 손을 사용하는 바느질 중심으로 자이로센서 기반으로 정확한 손동작 정보를 획득하고 기록할 수 있는 시스템 설계 및 연구개발을 통하여 ICT 기반 장인 공법 4D 기록화 기술을 제시하고자 한다. 이와 같은 기술로 무형문화유산의 새로운 4D 기록 방법으로 정확하게 기록하고 보존하여 무형문화유산 전승과 교육을 할 수 있고 문화유산의 유형에 맞는 교육·산업·홍보 등 다양한 사용 목적에 맞는 형태로 폭넓게 사용될 수 있다.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.147-156
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• 2023

Electronic voting machines (EVMs) are replacing research ballots due to the errors involved in the manual counting process and the lengthy time required to count the votes. Even though these digital recording electronic systems are advancements, they are vulnerable to tampering and electoral fraud. The suspected vulnerabilities in EVMs are the possibility of tampering with the EVM's memory chip or replacing it with a fake one, their simplicity, which allows them to be tampered with without requiring much skill, and the possibility of double voting. The vote data is shared among all network devices, and peer-to-peer verification is performed to ensure the vote data's authenticity. To successfully tamper with the system, all of the data stored in the nodes must be changed. This improves the proposed system's efficiency and dependability. Elections and voting are fundamental components of a democratic system. Various attempts have been made to make modern elections more flexible by utilizing digital technologies. The fundamental characteristics of free and fair elections are intractability, immutability, transparency, and the privacy of the actors involved. This corresponds to a few of the many characteristics of blockchain-like decentralized ownership, such as chain immutability, anonymity, and distributed ledger. This working research attempts to conduct a comparative analysis of various blockchain technologies in development and propose a 'Blockchain-based Electronic Voting System' solution by weighing these technologies based on the need for the proposed solution. The primary goal of this research is to present a robust blockchain-based election mechanism that is not only reliable but also adaptable to current needs.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.1
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• pp.38-46
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• 2024

In general, EEG signal analysis has been the subject of several studies due to its ability to provide an objective mode of recording brain stimulation, which is widely used in brain-computer interface research with applications in medical diagnosis and rehabilitation engineering. In this study, we developed EEG reception hardware to measure electroencephalograms and implemented a processing system, classifying it into server and data processing. It was conducted as an intermediate-stage research on the implementation of a brain-computer interface using electroencephalograms, and was implemented in the form of predicting the user's arm movements according to measured electroencephalogram data. Electroencephalogram measurements were performed using input from four electrodes through an analog-to-digital converter. After sending this to the server through a communication process, we designed and implemented a system flow in which the server classifies the electroencephalogram input using a convolutional neural network model and displays the results on the user terminal.

• Transactions of the Korean Society of Automotive Engineers
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• v.12 no.2
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• pp.205-214
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• 2004

This paper presents design concepts, specifications and performances of a newly developed Black Box, the reconstruction analysis tool with the records, and results of validation tests. The Black Box can detect crash accidents automatically, and record the vehicle's motion and driver's maneuvers during a pre-defined time period before and after the accident. The items of the Black Box included the acceleration, yaw-rate, vehicle speed, engine RPM, braking application, steering and several digital inputs for recording driver's maneuvers. To detect the accident-related-crash, it is important to understand characteristics of the crash signal, which are much different from those of normal driving. Therefore, analytical considerations should be taken in designing pre-filtering circuits and selecting appropriate parameters for identifying crash accidents. And, it is necessary to select proper combination of motion sensors and design proper pre-filtering circuits in order to describe the vehicle's motion. The analysis algorithms were developed and implemented which can perform accurate detection of crash accidents, simulating pre-crash trajectories, and calculating parameters for reconstruction analysis of crash accidents. The developed Black Box was installed on passenger cars and several types of validation tests were conducted. Through the tests, the accuracy of the recorded data and usefulness of the analysis tool for reconstruction have been validated.

• Proceedings of the KSME Conference
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• 2001.06d
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• pp.585-588
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• 2001

Particle contamination on the data storage disks has been a serious problem for magnetic hard disk drive manufacturers. For high storage optical disks, such as DVD-ROM/RAM or NFR (near field recording) system, particle-induced damages can be also detected because only a few micrometer particles can prevent read/write signal from optical lens. The increasing areal density and smaller bit size accelerates particle induced damages on the optical disk. One of the methods to prevent particle contamination on the optical disk surface is to handle the disk enclosed in a cartridge like a modern DVD-RAM disk. However, even for a perfectly sealed disk drive, particles are found inside the drive. The other method is to improve disk surface characteristics. Particle contamination on the surface can be reduced by proper selection of disk coating materials. [n this paper, particle detachment ratios for CD (compact disk), DVD (digital versatile disk), HD (magnetic hard disk), HD with Jut lubricant, and aluminosilicate substrate HD were investigated. Surface roughness and surface energy of the test disks were compared with the particle detachment ratios. Proper substrate and lubricant characteristics to reduce particle contamination on the disk surface were found.

• Management & Information Systems Review
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• v.2
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• pp.95-106
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• 1998

Color Echo-sounder display signals reflected from underwater objects in eight colors according to the strength of the signal. When the sea bottom is hard due to the presence of rocks, etc, the trailing on the reflection become strong signal and soft to presence of mud, etc the trailing on the reflection become weak signal. Strong signals are displayed in the color range, reddish brown, orange and yellow, in descending order of intensity. Weak signals are displayed in the range blue, light blue, cyan and green, in ascending order of intensity. Image of fish schools at or near the sea bottom vary according to the characteristics of the beam angle setting. When the angle is wide, even fish not near the bottom may be recorded as being on the seabed. A narrow angle should, therefore, be selected when you want to get an accurate recording of fish at or near the sea bottom. The condition of the sea bottom can be determinded more easily when the beam angle is wide and pulse with is long. Though the objects could be verified by the type of reflected signals which have been transformed into digital signals strong middle and weak ones, the experiments have in continue under various condition. Futhermore, the methode of measuring temperature inside the sea ought to be examined.

• Computers and Concrete
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• v.18 no.3
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• pp.405-420
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• 2016

Recently laser scanning technologies become widely used in many areas of the modern economy. In the following paper authors show a potential spectrum of use Terrestrial Laser Scanning (TLS) in diagnostics of reinforced concrete elements. Based on modes of failure analysis of reinforcement concrete beam authors describe downsides and advantages of adaptation of terrestrial laser scanning to this purpose, moreover reveal under which condition this technology might be used. Research studies were conducted by Faculty of Civil and Environmental Engineering at Gdansk University of Technology. An experiment involved bending of reinforced concrete beam, the process was registered by the terrestrial laser scanner. Reinforced concrete beam was deliberately overloaded and eventually failed by shear. Whole failure process was tracing and recording by scanner Leica ScanStation C10 and verified by synchronous photographic registration supported by digital photogrammetry methods. Obtained data were post-processed in Leica Cyclone (dedicated software) and MeshLab (program on GPL license). The main goal of this paper is to prove the effectiveness of TLS in diagnostics of reinforced concrete elements. Authors propose few methods and procedures to virtually reconstruct failure process, measure geometry and assess a condition of structure.